A survey on computational intelligence approaches for predictive modeling in prostate cancer

Expert Systems with Applications

Volumn 70, Issue , 2017, Pages 1-19

  Cosma, Georgina ^a   Brown, David ^a   Archer, Matthew ^a   Khan, Masood ^b   Graham Pockley, A ^a  

^a NOTTINGHAM TRENT UNIVERSITY   (United Kingdom)

^b UNIVERSITY HOSPITALS OF LEICESTER NHS TRUST   (United Kingdom)

Author keywords

Computational intelligence; Disease classification; Evolutionary computation; Machine learning; Metaheuristic optimisation; Predictive modeling; Prostate cancer prediction; Soft computing

Indexed keywords

ANT COLONY OPTIMIZATION; ARTIFICIAL INTELLIGENCE; BAYESIAN NETWORKS; BIOMIMETICS; DEEP LEARNING; DISEASES; EVOLUTIONARY ALGORITHMS; INTELLIGENT COMPUTING; LEARNING SYSTEMS; MARKOV PROCESSES; PARTICLE SWARM OPTIMIZATION (PSO); SOFT COMPUTING; SURVEYS; UROLOGY;

ARTIFICIAL IMMUNE NETWORKS; DISEASE CLASSIFICATION; META-HEURISTIC OPTIMISATION; NATURE INSPIRED ALGORITHMS; PARTICLE SWARM OPTIMISATION; PREDICTIVE MODELING; PROSTATE CANCERS; STATISTICAL TECHNIQUES;

PREDICTIVE ANALYTICS;

EID: 84995890343     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2016.11.006     Document Type: Review

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